Thesis Abstract

Abstract
The rapid advancement of technology has significantly transformed the field of Library and Information Science, particularly in the area of information retrieval. This thesis explores the role of artificial intelligence in enhancing information retrieval in libraries. The study investigates the various AI technologies and techniques that can be utilized to improve the efficiency and effectiveness of information retrieval processes in libraries. Chapter One provides an introduction to the topic, discussing the background of the study, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter Two presents a comprehensive literature review, covering ten key items related to artificial intelligence and information retrieval in library settings. Chapter Three outlines the research methodology, including the research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, and limitations of the study. Chapter Four presents the detailed discussion of findings, analyzing the impact of AI on information retrieval in libraries, discussing the challenges and opportunities, and exploring case studies of AI implementation in library settings. Finally, Chapter Five offers a summary of the key findings, conclusions drawn from the study, implications for practice, recommendations for future research, and the overall significance of the research findings. This thesis contributes to the growing body of knowledge on the application of artificial intelligence in libraries and provides valuable insights for librarians, information professionals, researchers, and policymakers seeking to enhance information retrieval processes in library settings through AI technologies.

Thesis Overview

The project titled "The role of artificial intelligence in enhancing information retrieval in libraries" delves into the intersection of cutting-edge technology and traditional library services. In recent years, the field of library and information science has witnessed a significant shift towards incorporating artificial intelligence (AI) to enhance information retrieval processes. This research seeks to explore the specific ways in which AI can be leveraged to improve the efficiency and effectiveness of information retrieval within library settings. The project will begin by providing a comprehensive introduction to the topic, highlighting the growing importance of AI in library services. The background of the study will delve into the evolution of information retrieval methods in libraries and the emergence of AI technologies as a potential game-changer in this domain. The problem statement will outline the existing challenges and limitations faced by traditional information retrieval systems, paving the way for the research objectives that aim to address these issues through AI integration. Further, the study will delineate the scope and limitations of the research, defining the boundaries within which the investigation will be conducted. The significance of the study will be emphasized, showcasing the potential impact of integrating AI in information retrieval processes on library services and user experiences. The structure of the thesis will be outlined to provide a roadmap for the subsequent chapters, ensuring a coherent and logical progression of ideas. Moving on to the literature review, the research will critically analyze existing studies and scholarly works that explore AI applications in library settings. By examining a diverse range of sources, the study aims to identify key trends, challenges, and opportunities associated with integrating AI in information retrieval within libraries. This section will provide a comprehensive overview of the current state of the field and set the stage for the subsequent empirical investigation. The research methodology chapter will detail the approach taken to investigate the research questions, including the research design, data collection methods, and analytical techniques employed. By outlining the methodology in detail, the study aims to ensure transparency and rigor in the research process, enhancing the credibility and reliability of the findings. In the discussion of findings chapter, the research will present and analyze the empirical results obtained from the study. This section will offer insights into the effectiveness of AI in enhancing information retrieval processes in libraries, highlighting the benefits, challenges, and implications of integrating AI technologies in this context. Finally, the conclusion and summary chapter will synthesize the key findings of the study, drawing actionable insights and recommendations for practitioners and policymakers in the field of library and information science. By providing a comprehensive overview of the research findings and their implications, the study aims to contribute to the growing body of knowledge on AI applications in library services and pave the way for future research in this exciting and rapidly evolving field.